Advanced “New” Labels
Last month, we looked at those pesky “new” labels that webmasters like to put on their sites. The intention is good, pointing us to documents we are unlikely to have seen before. In practice, the “new” labels are artificial, telling us when the document was last published, rather than whether it is actually new to us.
The techniques we explored last month—server-side includes, CGI programs, and templates—were interesting, but inefficient and slow. This month, we will look at ways to speed up our performance by using mod_perl, the Perl module for the Apache server.
We have discussed mod_perl on previous occasions in this column, but it is worth giving a quick introduction for those of you who may have missed it. The Apache server is built of modules, each of which handles a different part of the software's functionality. One of the advantages of this architecture is that it allows webmasters to customize their copy of Apache, including or excluding modules as necessary. It also means programmers can add functionality to Apache by writing new modules.
One of the most popular modules is mod_perl, which puts a copy of the Perl language inside the Apache server. This provides functionality on a number of levels, including the ability to set the configuration directives in Perl (or conditional, depending on whether or not certain Perl code executes). More significantly, it allows us to write Perl modules that can modify Apache's behavior.
When I say “behavior”, I mean both the behavior users see, displaying documents and responding to HTTP requests, and that which takes place behind the scenes, ranging from the way authentication takes place to the way logging is done.
Each invocation of a CGI program requires a new process, as well as start-up time. By contrast, mod_perl turns your code into a subroutine of the Apache executable. Your code is loaded and compiled once, then saved for future invocations.
When we first think about what happens to an HTTP request when it is submitted to Apache, it seems relatively simple. The request is read by Apache, passed to the correct module or subroutine and returned to the user's browser in an HTTP response. In fact, each request must travel through many (over a dozen) different “handlers” before a response is generated and sent. mod_perl allows us to modify and enhance any or all of these handlers by attaching a Perl module to it. The handler most often modified is called PerlHandler. Other more specific handlers are given other names, such as PerlTransHandler (for URL-to-filename translation) and PerlLogHandler (for log files).
This month, we will look at a number of PerlHandlers that will make it possible to create truly useful “new” labels for our web sites.
The first PerlHandler we will define is rather simple: it puts a “new” label next to any link on a page. This is not a particularly difficult task or a good use of mod_perl. However, it does gently ease us into writing a Perl module for mod_perl, and it will form the basis for future versions we will write.
Our module begins much the same as any other module, declaring its own name space (Apache::TagNew, in this case), then importing several symbolic constants from the Apache::Constants package. The module defines a single subroutine, called “handler”. This is the conventional way to define a handler under mod_perl; that is, create a module with a “handler” subroutine, then tell Apache to use that module as a handler for a particular directory.
We instruct Apache to invoke our handler in the configuration file httpd.conf. For example, my copy of httpd.conf says the following:
PerlModule Apache::TagNew <Directory /usr/local/apache/share/htdocs/tag> SetHandler perl-script PerlHandler Apache::TagNew </Directory>
The PerlModule directive tells Apache to load the Apache::TagNew module. The <Directory> section tells Apache that the /tag subdirectory of my HTML content tree should be treated specially, using the handler method of Apache::New instead of the default content handler. Once we activate our module by restarting our server (or by sending it a HUP signal), any file in the /tag directory will be handled by Apache::TagNew, rather than Apache's default handler.
The first thing handler must do is retrieve the Apache request object, traditionally called $r. This object is the key to everything in mod_perl, since it allows us to retrieve information about the HTTP request, the environment, and the server on which the program is running. We also use $r to send data back to the user's browser.
Our method is expected to return one of the symbols we imported from Apache::Constants. Returning OK means we successfully handled the query, data has been returned to the user's browser, and Apache should move to its next stage of handling the request. If we return DECLINED, Apache assumes our module did not handle the request and it should find some other handler willing to do the job. There are a variety of other symbols we can return, including NOT_FOUND, which indicates that the file was not found on our server.
In Apache::TagNew (see Listing 1), we normally return OK. We return NOT_FOUND if an error occurs when opening the file, and DECLINED if the file does not have a MIME type of “text/html”. Hyperlinks are going to appear only in HTML-formatted text files, so we can save everyone a bit of time and energy by letting another handler take care of other file types.
The rest of the handler works by reading the contents of the file, then replacing them with our new and improved version. We append a “new” label after every </a>, which comes after each hyperlink. In this way, every hyperlink is tagged as new.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Linux Systems Administrator
- New Products
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Designing Electronics with Linux
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




5 hours 39 min ago
10 hours 11 min ago
10 hours 11 min ago
12 hours 11 min ago
20 hours 57 min ago
21 hours 31 min ago
22 hours 29 min ago
23 hours 20 min ago
1 day 3 hours ago
1 day 7 hours ago